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M-TECH in Advanced Computing at Maulana Azad National Institute of Technology Bhopal
Bhopal, Madhya Pradesh
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About the Specialization
What is Advanced Computing at Maulana Azad National Institute of Technology Bhopal Bhopal?
This M.Tech Advanced Computing program at Maulana Azad National Institute of Technology Bhopal focuses on cutting-edge areas of computer science. It equips students with advanced knowledge in areas highly relevant to the Indian IT industry, such as artificial intelligence, cloud infrastructure, and big data technologies, preparing them for complex problem-solving in a rapidly evolving digital landscape. The curriculum emphasizes both theoretical depth and practical application.
Who Should Apply?
This program is ideal for engineering graduates (B.E./B.Tech in CSE/IT) with a strong foundation in computer science seeking to specialize. It also caters to working professionals aiming to upskill for leadership roles in technology, and career changers transitioning into high-demand fields like AI/ML or cloud architecture, provided they meet the rigorous academic and GATE score prerequisites.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative career paths in India as AI Engineers, Cloud Architects, Data Scientists, or Research and Development Specialists. Entry-level salaries typically range from INR 6-12 LPA, growing significantly with experience. The advanced skills acquired align with certifications from leading tech companies like AWS, Google Cloud, and Microsoft Azure, boosting career growth and global employability.
Student Success Practices
Foundation Stage
Master Advanced Data Structures & Algorithms- (Semester 1-2)
Dedicate significant time to understanding and implementing complex data structures and algorithms, which form the bedrock of advanced computing. Practice coding problems daily on platforms like LeetCode and HackerRank to build problem-solving speed and efficiency essential for technical roles.
Tools & Resources
LeetCode, HackerRank, GeeksforGeeks, Competitive Programming communities
Career Connection
Crucial for cracking technical interviews at top Indian tech companies and for developing efficient, scalable software solutions in any advanced computing domain.
Build a Strong Research Foundation- (Semester 1-2)
Engage deeply with the ''''Research Methodology'''' course, focusing on literature review, experimental design, and academic writing. Start exploring potential thesis topics early and identify faculty mentors whose research interests align with your career aspirations.
Tools & Resources
IEEE Xplore, ACM Digital Library, Google Scholar, Zotero/Mendeley for citation management
Career Connection
Prepares for dissertation work, future R&D roles in industry, and contributes to academic publications, enhancing your profile for specialized roles or higher studies.
Explore Core Specialization Areas- (Semester 1-2)
Utilize introductory courses in Machine Learning, Cloud Computing, and Advanced OS to identify your core interest. Participate in departmental workshops and tech talks to gain broader insights into current industry trends and potential career paths within advanced computing.
Tools & Resources
Online courses (Coursera, edX), departmental seminars, industry webinars
Career Connection
Helps in making informed decisions about elective choices and future career specialization, aligning your academic focus with high-demand industry sectors in India.
Intermediate Stage
Deep Dive into Elective Specializations- (Semester 3)
Select electives strategically based on your career goals (e.g., AI/ML, Cloud, Data Science, Blockchain). Go beyond coursework by building mini-projects, participating in Kaggle competitions, or contributing to open-source projects related to your chosen niche.
Tools & Resources
Kaggle, GitHub, TensorFlow, PyTorch, scikit-learn, AWS/Azure/GCP platforms
Career Connection
Develops portfolio-worthy projects and demonstrates specialized skills highly valued by Indian tech recruiters in advanced roles like AI Engineer, Data Scientist, or Cloud Architect.
Seek Industry Internships/Collaborations- (Semester 3)
Actively apply for summer internships at leading tech companies or startups in India. Leverage the institute''''s placement cell, faculty networks, and professional platforms like LinkedIn to secure opportunities for practical industry exposure and real-world problem-solving.
Tools & Resources
LinkedIn, Internshala, college placement portal, company career pages
Career Connection
Crucial for gaining industry experience, building professional networks, and often leads to pre-placement offers (PPOs) in top Indian IT and product companies, accelerating career entry.
Develop Strong Communication & Presentation Skills- (Semester 3)
Participate actively in seminars, workshops, and technical paper presentations. Focus on clearly articulating complex technical concepts. Join public speaking clubs or technical societies to refine these critical soft skills, highly valued in corporate and leadership roles.
Tools & Resources
Toastmasters International (if available), departmental presentation events, online public speaking courses
Career Connection
Essential for leadership roles, client interactions, and presenting technical solutions effectively, which is crucial for career progression in both Indian and global firms.
Advanced Stage
Focus on High-Quality Dissertation Research- (Semester 4)
Dedicate yourself to producing a robust and impactful Master''''s dissertation. Aim for innovative solutions, publish findings in reputed conferences/journals if possible, and meticulously document your research work to showcase your expertise.
Tools & Resources
Research papers databases, academic writing tools, collaboration platforms, institutional research labs
Career Connection
A strong dissertation enhances your profile for R&D positions, academic careers, or highly specialized roles requiring advanced problem-solving and innovation in the tech sector.
Master Placement Preparation & Mock Interviews- (Semester 4)
Begin rigorous preparation for placements well in advance. Practice aptitude tests, technical rounds (coding, system design), and HR interviews. Participate in mock interview sessions organized by the placement cell and alumni mentors to refine your approach.
Tools & Resources
Online aptitude platforms, Interviewbit, GeeksforGeeks, Glassdoor, MANIT Bhopal alumni network
Career Connection
Maximizes chances of securing top placements in core tech, R&D, and consulting roles within India''''s competitive job market, leading to desirable job offers.
Cultivate Professional Networking & Mentorship- (Semester 4)
Build a strong professional network through LinkedIn, alumni events, and industry conferences. Seek mentorship from faculty, alumni, or industry leaders to gain insights into career paths, industry trends, and future opportunities in the tech landscape.
Tools & Resources
LinkedIn, MANIT Bhopal alumni portal, professional meetups/conferences
Career Connection
Opens doors to unadvertised opportunities, provides invaluable career guidance, and fosters long-term professional relationships critical for growth and career navigation in the Indian tech ecosystem.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech. or equivalent degree in relevant discipline with minimum 60% marks or 6.5 CGPA/CPI (6.0 CGPA/CPI for SC/ST/PwD candidates) on a 10-point scale. Valid GATE score in the relevant discipline is mandatory.
Duration: 4 semesters/ 2 years
Credits: 68 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MAC001 | Advanced Data Structures and Algorithms | Core | 4 | Algorithmic paradigms (Greedy, DP), Advanced data structures (B-trees, heaps), Graph algorithms (BFS, DFS, shortest paths), Amortized analysis, String algorithms, Network flow algorithms |
| MAC002 | Advanced Computer Architecture | Core | 4 | Pipelining and parallelism, Memory hierarchy and caches, Vector and array processors, Multiprocessor systems, Cache coherence protocols, Distributed memory architectures |
| MAC003 | Advanced Operating Systems | Core | 4 | Distributed operating systems, Process synchronization and deadlocks, Distributed file systems, Virtualization techniques, Cloud OS concepts, Security in distributed OS |
| MAC004 | Research Methodology | Core | 3 | Problem formulation and hypothesis, Research design and methods, Data collection and analysis, Statistical inference and testing, Technical writing and ethics, Referencing and plagiarism |
| MAC005 | Advanced Computing Lab - I | Lab | 2 | Implementation of advanced algorithms, Data structures in programming, OS system calls and programming, Network programming exercises, Performance analysis of code, Debugging and optimization techniques |
| MAC006 | Seminar | Project | 1 | Literature review of current research, Technical presentation skills, Scientific report writing, Critical analysis of papers, Effective communication techniques, Topic selection in advanced computing |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MAC007 | Machine Learning | Core | 4 | Supervised and unsupervised learning, Deep learning fundamentals, Reinforcement learning basics, Feature engineering and selection, Model evaluation and regularization, Neural networks and backpropagation |
| MAC008 | Cloud Computing | Core | 4 | Cloud service models (IaaS, PaaS, SaaS), Virtualization technologies, Distributed storage systems, Cloud security and privacy, Cloud deployment models (private, public), Resource management and scheduling |
| MAC009 | Program Elective - I | Elective | 4 | Topics vary based on chosen elective from the specialization pool, Could include Natural Language Processing, Or Big Data Analytics concepts, Or advanced database technologies, Focus on specific areas like AI, data science, networking, Specialized algorithms and architectures |
| MAC010 | Program Elective - II | Elective | 4 | Topics vary based on chosen elective from the specialization pool, Could include Computer Vision techniques, Or Internet of Things principles, Or Soft Computing methodologies, Focus on practical applications and emerging technologies, In-depth study of a chosen advanced area |
| MAC011 | Advanced Computing Lab - II | Lab | 2 | Implementation of Machine Learning algorithms, Working with Cloud platforms (AWS, Azure, GCP), Distributed system programming, Big data tool usage, IoT sensor data processing, Performance optimization in cloud environments |
| MAC012 | Mini Project | Project | 2 | Problem identification and formulation, Design and architecture of a solution, Implementation using relevant technologies, Testing and evaluation of project, Technical report writing, Presentation of project outcomes |
| MAC013 | Natural Language Processing | Elective | 4 | Lexical and syntactic analysis, Semantic processing and disambiguation, Machine translation techniques, Text classification and clustering, Information extraction and retrieval, Language models and sequence models |
| MAC014 | Computer Vision | Elective | 4 | Image formation and processing, Feature extraction and detection, Object recognition and tracking, Image segmentation, Motion analysis, 3D vision and scene reconstruction |
| MAC015 | Internet of Things | Elective | 4 | IoT architecture and layers, Sensors, actuators, and devices, IoT communication protocols, Edge and fog computing, IoT data analytics, IoT security and privacy |
| MAC016 | Big Data Analytics | Elective | 4 | Hadoop ecosystem (HDFS, MapReduce), Spark for big data processing, NoSQL databases (Cassandra, MongoDB), Stream processing (Kafka, Flink), Data warehousing and ETL, Predictive modeling on big data |
| MAC017 | Soft Computing | Elective | 4 | Fuzzy logic and fuzzy sets, Artificial Neural Networks (ANN), Genetic Algorithms and optimization, Swarm intelligence (PSO, ACO), Hybrid soft computing techniques, Applications in pattern recognition |
| MAC018 | Advanced Database Systems | Elective | 4 | Distributed database systems, NoSQL databases and their types, Data warehousing and OLAP, Query processing and optimization, Database security and integrity, Graph databases and spatial databases |
| MAC019 | Real Time Systems | Elective | 4 | Real-time scheduling algorithms, Real-time operating systems (RTOS), Inter-process communication in RTS, Fault tolerance and reliability, Real-time programming languages, Embedded systems and applications |
| MAC020 | Compiler Design | Elective | 4 | Lexical analysis and scanning, Parsing techniques (LL, LR), Semantic analysis and type checking, Intermediate code generation, Code optimization techniques, Target code generation |
| MAC021 | Distributed Systems | Elective | 4 | Architectures of distributed systems, Interprocess communication (RPC, RMI), Consistency and replication, Fault tolerance and recovery, Distributed consensus (Paxos, Raft), Distributed file systems |
| MAC022 | Blockchain Technology | Elective | 4 | Cryptographic primitives (hashing, signatures), Distributed ledger technology, Consensus mechanisms (PoW, PoS), Smart contracts and DApps, Bitcoin and Ethereum architectures, Blockchain security and privacy |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MAC023 | Program Elective - III | Elective | 4 | Topics vary based on chosen elective from the specialization pool, Could encompass areas like blockchain, advanced ML, or cloud security, Focus on cutting-edge research and industry applications, Advanced analytical and design methodologies, Problem-solving for complex distributed systems, Integration of various computing paradigms |
| MAC024 | Program Elective - IV | Elective | 4 | Topics vary based on chosen elective from the specialization pool, Could include advanced topics in AI, IoT, or secure computing, Emphasis on practical implementation and case studies, Exploring new algorithms and system architectures, Performance evaluation of complex systems, Ethical considerations in advanced technology |
| MAC025 | Program Elective - V | Elective | 4 | Topics vary based on chosen elective from the specialization pool, Could involve specialized areas like quantum computing basics or cyber-physical systems, Focus on emerging trends and future technologies, Cross-disciplinary applications of advanced computing, Research frontiers in computer science, Innovation and entrepreneurial aspects |
| MAC026 | Dissertation Part - I | Project | 6 | Identification of research problem, Comprehensive literature survey, Development of research methodology, Preliminary experimental design, Initial data collection and analysis, Proposal writing and presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MAC027 | Dissertation Part - II | Project | 12 | Advanced research and experimentation, In-depth data analysis and interpretation, Implementation of proposed solutions, Results validation and discussion, Comprehensive thesis writing, Final defense and publication efforts |
